Our Services

Tailored guidance for AI governance, policy development, and compliance frameworks aligned with Testing & Evaluation best practices and statistical rigor.

Internal AI Governance Advisory

• Advisory support for developing AI governance approaches tailored to your organization's specific mission and operational context.

Custom AI Policy Development

• Develop comprehensive AI policy documents that mitigate organizational risk while ensuring alignment with your specific operational needs and principles, providing a solid foundation for reliable AI deployment.

AI Policy Review & Enhancement

• Identify and address critical gaps in existing AI policies, incorporating testing & evaluation best practices and statistical rigor often missing from generic or off-the-shelf policies.

Custom testing frameworks, specialized evaluation planning, and bespoke benchmarking to ensure AI systems meet operational and technical requirements.

Custom AI Test Plan Development

• Design tailored evaluation plans for novel, critical, or high-risk AI systems where generic testing approaches fall short of addressing your specific operational context and deployment requirements.

Custom Benchmarking Design

• Design bespoke benchmarks that provide contextually relevant performance comparisons for your specific AI systems, moving beyond generic off-the-shelf benchmarks that constrain evaluation to irrelevant scenarios.

Independent Test Plan Review

• Ensure your AI testing captures the right information through expert review that identifies gaps and validates completeness, with independent assessment providing objective evaluation for critical or high-risk systems.

Red Team Testing Services

• Specialized red team testing focused on social engineering and criminal misuse pathways, addressing critical security vulnerabilities that standard testing approaches often miss.

Risk-focused evaluation planning and incident analysis to identify and address AI system risks through targeted testing and systematic failure analysis.

Risk-Focused Evaluation Planning

• Helping clients design evaluation plans that address key AI risk areas, tailored to system maturity, data access, and operational goals.

Incident Analysis & Root Cause Assessment

• Rapidly identify why AI systems fail and accelerate performance improvements through systematic incident analysis that pinpoints root causes and informs targeted fixes.

Strategic alignment of AI capabilities with organizational objectives, performance monitoring, and continuous improvement.

Operational Effectiveness Assessment

• Collaborating with clients to define success criteria for AI systems using metrics like accuracy, speed, workload reduction, and user satisfaction.

Custom Performance Monitoring Implementation

• Working with technical teams to implement practical monitoring tools and integrate custom performance tracking into AI systems.

AI System Reliability Tracking

• Advising on monitoring and tracking severe failures and overall system stability to spot reliability issues early and understand long-term trends.

Educational programs to build AI evaluation expertise across technical and non-technical teams.

AI Governance for Testing & Evaluation Training

• Tutorials covering governance components relevant to AI T&E: specifications, documentation, and organizational integration.

AI Testing & Evaluation Fundamentals

• Introductory sessions explaining key concepts in AI system evaluation, including specifications, test planning, and common pitfalls.

AI Operational Reliability Training

• Focused training for leadership and technical leads on assessing how reliably AI systems perform in real-world operational conditions and meet their intended objectives.

Custom AI Evaluation Training

• Bespoke training development and delivery, tailored to client-specific contexts, goals, and levels of AI evaluation maturity.